Chuanyou Li

Comparison of gyrA gene mutations between laboratory-selected ofloxacin-resistant Mycobacterium tuberculosis strains and clinical isolates

To understand the relationship between mutations in the quinolone resistance-determining region (QRDR) of the gyrA gene and drug resistance to ofloxacin, 85 laboratory-selected ofloxacin-resistant Mycobacterium tuberculosis mutant strains and 110 M. tuberculosis clinical isolates, screened by denaturing high-performance liquid chromatography to contain mutations, were analysed for their mutation patterns by sequencing as well as their ofloxacin minimal inhibitory concentrations (MICs). All mutations detected occurred at the codons Ala74, Ala90, Ser91 and Asp94 in all strains. One of the five different forms of missense mutation in Asp94 occurred in 60% of the laboratory-selected strains and 78% of the clinical isolates. However, 53 clinical isolates (48%) and only 2 laboratory-selected strains (2.4%) harboured double point mutations. The mutation Ala74Ser occurred only in the clinical isolates and only in combination with the Asp94Gly mutation. The ofloxacin MIC for the clinical isolates ranged from 0.5microg/mL to 20microg/mL, whilst the MICs for the laboratory-selected strains were > or =10microg/mL. The differences in gyrA gene mutation patterns and MICs between the laboratory-selected resistant strains and clinically isolated resistant strains identified here might help to understand the mechanisms involved in fluoroquinolone resistance.

Identification of a novel IRGM promoter single nucleotide polymorphism associated with tuberculosis

BACKGROUNDnHuman immunity-related GTPase M (IRGM) is found to play an important role in defense against intracellular pathogen Mycobacterium tuberculosis in vitro by regulating autophagy. To verify whether single nucleotide polymorphisms (SNPs) in the promoter region of IRGM gene are associated with tuberculosis (TB) 1.7 kb IRGM promoter region was sequenced and SNP analysis was conducted in TB patients and healthy controls.nnnMETHODSnA simple and rapid procedure for extracting DNA from clotted-blood was developed in this study. A 1.7 kb IRGM promoter region was amplified and sequenced for nucleotide polymorphism search. Then, 3 SNPs were selected and analyzed in 216TB patients and 275 healthy subjects by ligase detection reaction technique.nnnRESULTSnDNA extracted by our method was of high quality and suitable for PCR, sequencing, and genotyping. We identified 29 polymorphisms in the 1.7 kb IRGM promoter region, including 11 novel polymorphisms not yet reported. Large population analysis showed that frequencies of -1208A allele (P=0.031), -1208AA genotype (P=0.042), and -1208A/-1161C/-947C (P=0.035) and -1208G/-1161C/-947C (P=0.030) haplotypes in cases were significantly different from those in controls.nnnCONCLUSIONSnIn 1.7 kb IRGM promoter region, only -1208A/G polymorphism is associated with susceptibility to TB.

Isolation and characterization of a xanthan‐degrading Microbacterium sp. strain XT11 from garden soil

Aims:u2002 Isolation and characterization of the xanthan‐degrading Microbacterium sp. XT11.

Genotypic diversity analysis of Mycobacterium tuberculosis strains collected from Beijing in 2009, using spoligotyping and VNTR typing.

Background Tuberculosis (TB) is a serious problem in China. While there have been some studies on the nationwide genotyping of Mycobacterium tuberculosis (M. tuberculosis), there has been little detailed research in Beijing, the capital of China, which has a huge population. Here, M. tuberculosis clinical strains collected in Beijing during 2009 were genotyped by classical methods. Methodology/Principal Findings Our aim was to analyze the genetic diversity of M. tuberculosis strains within the Beijing metropolitan area. We characterized these strains using two standard methods, spoligotyping (nu200a=u200a1585) and variable number of tandem repeat (VNTR) typing (nu200a=u200a1053). We found that the most prominent genotype was Beijing family genotype. Other genotypes included the MANU, T and H families etc. Spoligotyping resulted in 137 type patterns, included 101 unclustered strains and 1484 strains clustered into 36 clusters. In VNTR typing analysis, we selected 12-locus (QUB-11b, MIRU10, Mtub21, MIRU 23, MIRU39, MIRU16, MIRU40, MIRU31, Mtub24, Mtub04, MIRU20, and QUB-4156c) and named it 12-locus (BJ) VNTR. VNTR resulted in 869 type patterns, included 796 unclustered strains and 257 strains clustered into 73 clusters. It has almost equal discriminatory power to the 24-locus VNTR. Conclusions/Significance Our study provides a detailed characterization of the genotypic diversity of M. tuberculosis in Beijing. Combining spoligotyping and VNTR typing to study the genotyping of M. tuberculosis gave superior results than when these techniques were used separately. Our results indicated that Beijing family strains were still the most prevalent M. tuberculosis in Beijing. Moreover, VNTR typing analyzing of M. tuberculosis strains in Beijing was successfully accomplished using 12-locus (BJ) VNTR. This method used for strains genotyping from the Beijing metropolitan area was comparable. This study will not only provide TB researchers with valuable information for related studies, but also provides guidance for the prevention and control of TB in Beijing.

Evaluation of Spoligotyping and MIRU-VNTR for Mycobacterium bovis in Xinjiang, China.

Mycobacterium bovis, the causative agent of bovine tuberculosis (bTB) in cattle, is also a pathogen for human and other mammals. In this study, 406 cows were screened for bTB by both single intradermal comparative cervical tuberculin (SICCT) test and IFN-γ assay. 135 M. bovis were isolated from 31 SICCT and IFN-γ double-positive cows in Xinjiang Uygur Autonomous Region of China. Spoligotyping and MIRU-VNTR were evaluated for genotyping, and 4 and 7 genotypes were identified, respectively. A new combination of nine MIRU-VNTR loci was most discriminative for M. bovis clones from Xinjiang. Interestingly, two new spoligotypes (SB1903 and SB1904) and special repeat numbers of three loci (ETR-D, QUB 1895 and QUB 3336) were discovered in this study. These results indicated a specific epidemic conservation in Xinjiang, China. M. bovis strains with the unique genotypes were isolated from the herds maintaining parent cows imported from the bTB-free countries, suggesting a possible transmission from the local breed of Xinjiang brown cattle.

The Mechanism of Mycobacterium smegmatis PafA Self-Pupylation

PafA, the prokaryotic ubiquitin-like protein (Pup) ligase, catalyzes the Pup modification of bacterial proteins and targets the substrates for proteasomal degradation. It has been reported that that M. smegmatis PafA can be poly-pupylated. In this study, the mechanism of PafA self-pupylation is explored. We found that K320 is the major target residue for the pupylation of PafA. During the self-pupylation of PafA, the attachment of the first Pup to PafA is catalyzed by the other PafA molecule through an intermolecular reaction, while the formation of the polymeric Pup chain is carried out in an intramolecular manner through the internal ligase activity of the already pupylated PafA. Among the three lysine residues, K7, K31 and K61, in M. smegmatis Pup, K7 and K31 are involved in the formation of the poly-Pup chain in PafA poly-pupylation. Poly-pupylation of PafA can be reversibly regulated by depupylase Dop. The polymeric Pup chain formed through K7/K31 linkage is much more sensitive to Dop than the mono-Pup directly attached to PafA. Moreover, self-pupylation of PafA is involved in the regulation of its stability in vivo in a proteasome-dependent manner, suggesting that PafA self-pupylation functions as a mechanism in the auto-regulation of the Pup-proteasome system.

Discrepancies in Drug Susceptibility Test for Tuberculosis Patients Resulted from the Mixed Infection and the Testing System

To find the potential reasons for the discrepancies in the drug susceptibility test (DST) of M. tuberculosis isolates, twenty paired isolates with disputed drug susceptibilities to isoniazid (INH) were selected according to the MGIT960 testing and Löwenstein-Jensen (L-J) proportion methods. Their MICs were confirmed again by broth microdilution method and by L-J proportion method. The spoligotyping results showed that, of all the 20 paired strains, 11 paired isolates belonged to the Beijing genotype and 6 paired isolates belonged to SIT1634, and that each of the remaining 3 paired isolates had two genotypes, namely, SIT1 and SIT1634. Those 3 paired isolates with different intrapair spoligotypes were further confirmed as mixed infection by the results that those three pairs of isolates with different 12 locus MIRU intrapair types and one pair carried different base pair at codon 315 (AGC versus AAC). Totally mutations in the katG gene were identified in 13 paired isolates. No mutations were found in the regulatory sequences and open reading frames (ORF) of the inhA and ahpC genes in any of the tested isolates. Those results showed that the different test systems and the mixed infection with particular genotypes of M. tuberculosis strains contributed to the drug susceptibility discrepancies.

An automated approach for global identification of sRNA-encoding regions in RNA-Seq data from Mycobacterium tuberculosis

Deep-sequencing of bacterial transcriptomes using RNA-Seq technology has made it possible to identify small non-coding RNAs, RNA molecules which regulate gene expression in response to changing environments, on a genome-wide scale in an ever-increasing range of prokaryotes. However, a simple and reliable automated method for identifying sRNA candidates in these large datasets is lacking. Here, after generating a transcriptome from an exponential phase culture of Mycobacterium tuberculosis H37Rv, we developed and validated an automated method for the genome-wide identification of sRNA candidate-containing regions within RNA-Seq datasets based on the analysis of the characteristics of reads coverage maps. We identified 192 novel candidate sRNA-encoding regions in intergenic regionsxa0and 664 RNA transcripts transcribed from regions antisense (as) to open reading frames (ORF), which bear the characteristics of asRNAs, and validated 28 of these novel sRNA-encoding regions by northern blotting. Our work has not only provided a simple automated method for genome-wide identification of candidate sRNA-encoding regions in RNA-Seq data, but has also uncovered many novel candidate sRNA-encoding regions in M. tuberculosis, reinforcing the view that the control of gene expression in bacteria is more complex than previously anticipated.

Quantitative proteomic analysis of host responses triggered by Mycobacterium tuberculosis infection in human macrophage cells

Macrophages are primary host of Mycobacterium tuberculosis (M.tb) and the central effector of in vivo innate immune responses against bacteria. Though the interaction between macrophages and mycobacteria has been widely investigated, the molecular mechanisms of M.tb pathogenesis in macrophages are still not clear. In this work, we investigated the altered protein expression profiles of macrophages after virulent H37Rv strain and avirulent H37Ra strain infection by tandem mass tag-based quantitative proteomics. Among 6762 identified proteins of macrophages, the expression levels of 235 proteins were significantly altered, which is supposed to be related to the infection of different strains. By bioinformatics analysis at systems level, we found that these proteins are mainly involved in the biological process of apoptosis, blood coagulation, oxidative phosphorylation, and others. The enormous variation in protein profiles between macrophages infected with H37Ra and H37Rv suggests the existence of four different immunity mechanisms that decide the fates of macrophages and M.tb. These data may provide a better understanding of M.tb pathogenesis within the host, which contributes to the prevention and clinical treatment of tuberculosis.

Gene expression profiling of the TRIM protein family reveals potential biomarkers for indicating tuberculosis status

Tripartite motif (TRIM) family proteins play important regulatory roles in innate immune responses, the dysregulation of which cause several infectious diseases. However, the role and function of TRIM family proteins during tuberculosis (TB) infection remains unclear. In this study, we employed real-time quantitative PCR to profile the transcript levels of 72 TRIM genes from a cohort of 5 active TB patients, 5 latent tuberculosis infection (LTBI) subjects, and 5 healthy controls (HCs) in an initial discovery phase. The notable TRIM genes were assessed by in vitro cell infection experiments and further validated in another independent cohort (36 active TB, 24 LTBI and 28xa0HCs). The receiver operating characteristic (ROC) was used to analyze the diagnostic power of these TRIM genes. Our results revealed that 20 TRIM genes were decreased in active TB compared to LTBI and HCs. In addition, TRIM4, 16, 27, 32, 35, 46, 47, 65 and 68 were further shown to be downregulated in Mycobacterium smegmatis-infected macrophages and were found to be closely correlated with infection time and initial bacteria loads. Furthermore, the ROC analyses showed that TRIM4, 27 and 65 all exhibited the highest areas under the curve (AUC) values of 1.00 in discriminating active TB from LTBI and HCs. Moreover, TRIM27 combined with TRIM32 for an improved AUC value of 0.81 in discriminating LTBI from HCs. These results suggest that TRIM gene dysregulation might be involved in the pathogenesis of TB and that these genes could serve as potential biomarkers for indicating TB status.